NusEye: designing for social navigation in syndicated content
Proceedings of the 2005 conference on Diversity in computing
Geotracker: geospatial and temporal RSS navigation
Proceedings of the 16th international conference on World Wide Web
Enhancing directed content sharing on the web
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Bloggers and Readers Blogging Together: Collaborative Co-creation of Political Blogs
Computer Supported Cooperative Work
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The application of social network analysis techniques, along with graph visualization and interaction, for navigating syndicated web content, a.k.a webfeeds, is presented. Within a webfeed aggregator, a judicious choice of networks and network information can highlight relationships between individual content items and content sources. A key contribution is to apply network analysis to content item and content source relationships in addition to analysis of traditional human networks. Presenting these relationships can improve scannability and prevent source stagnation in content aggregators. This aids in reducing information overload and improving information quality. Three social networks are exploited to generate interactive graphs in particularly useful visual styles. The results of a small initial user study are also presented indicating initial promise for our approach.